Senior Data Architect

Senior Data Architect
Full Time Permanent
Markham- Hybrid

The Opportunity:
The Senior Architect, Data & Analytics will play a critical role in designing and managing data architectures that support our operations and strategic goals. This role involves working closely with various stakeholders, including internal partners in Pharmacy and PSP, to understand their data needs, developing robust data models, and ensuring the integrity, security, and compliance of our data assets.
A Day in the Life (What you will do here):
Architectural Design and Development:

• Technical Architecture: Develop and oversee the implementation of a reliable, scalable, and efficient data technology architecture, including operational integrations, data pipelines, and data warehouse solutions, tailored to pharmaceutical distribution and health care delivery. 
• Develop Enterprise Data Models: Create and maintain a comprehensive data model that describes critical aspects of the business, such as treatments, patients, clinics, health care providers, inventory management, order processing, and regulatory compliance.
• Ensure Compliance: Align data architecture with regulatory requirements, including those set by Health Canada and other relevant industry standards.

Data Management and Integration:

• Data Integration: Oversee the design of data integrations between operational source systems, including warehouse management systems, Pharmacy dispense systems and CRM tools, ensuring reliable, timely, and consistent data flow..
• Data Warehousing: Oversee the design and guide the implementation of analytic data pipelines and a data warehouse to consolidate raw system data and transform into business objects for the purposes of reporting and AI/ML modelling.
• Data Governance: Design the implementation of systems and processes to enforce data governance policies and procedures to ensure data quality, accuracy, security, and compliance with industry regulations.
• Data Quality: Collaborate with data governance, data engineering and application development teams to ensure data quality at source.

• Requirement Gathering: Work closely with internal stakeholders, to understand their data needs and align to enterprise data architecture.
• Technical Guidance: Provide expert guidance to data engineering and application development teams on best practices for data management..
• Communication: Effectively communicate complex data concepts and architecture solutions to non-technical stakeholders, ensuring clarity and actionable insights.

Technology Evaluation and Implementation:

• Tool Assessment: Evaluate and recommend data management tools, technologies, and platforms that deliver our data management strategy.
• Technology Adoption: Stay current with emerging data technologies and industry trends, leading the adoption of new tools and ensuring their effective integration into existing systems, including the use of AI, ML and driving change within the organization
• Platform Management: Manage and optimize the use of data management platforms, ensuring they meet organizational and industry-specific needs.

Project Management:

• Project Oversight: Manage data architecture projects from initiation through completion, ensuring they are delivered on time, within scope, and on budget.
• Coordination: Coordinate with cross-functional teams to facilitate the integration and deployment of data solutions, addressing any issues that arise during the project lifecycle.
• Progress Monitoring: Monitor project progress, identify potential risks, and provide regular status updates to senior management.

Documentation and Training:

• Documentation: Develop and maintain detailed documentation for data architectures, data models, and data management processes, ensuring they are accurate and up-to-date.
• Training: Provide training and support to team members and end-users on data best practices, tools, and technologies, fostering a culture of data excellence within the organization.

Compliance and Security:

• Regulatory Compliance: Ensure all data management practices adhere to regulatory requirements and industry standards, particularly those specific to the pharmaceutical distribution industry in Canada.
• Data Security: Implement and monitor data security measures to protect sensitive information and ensure compliance with data protection regulations.

• Assist with other duties as assigned by the manager

What you need to ensure you are set up for success:

• Expert knowledge of latest software engineering technological and innovations
• Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree or relevant certifications (e.g., Certified Data Management Professional) is a plus.
• Minimum of 7-10 years of experience in data architecture, data modeling, and data management roles.
• Proficiency in data modeling tools, database management systems (e.g., SQL, NoSQL), data warehousing technologies and cloud platforms (Azure)
• Strong understanding of data governance, data quality, and data security best practices. Familiarity with big data technologies and analytics platforms is advantageous.
• Excellent problem-solving skills, strong analytical abilities, and effective communication skills. Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.

What makes you a great fit for this team: 

• Your commitment to providing a high level of service to your internal and external clients.
• You are highly adaptable with a track record of success during times of growth and organizational change.
• You have a proven track record of developing trust and influence at multiple levels.
• You demonstrate an impactful and candid communication style.
• You have exceptional organizational skills with the ability to build effective working relationships with colleagues, management, and stakeholders.